Video: Intel Xeon Phi Coprocessor Overview at SC12

The latest version of Moab was designed to recognize and work with the new Intel Xeon Phi coprocessors, based on the Intel Many Integrated Cores (MIC) technology. This ability to automatically detect Intel Xeon Phi coprocessors– and determine their location and availability – improves processor utilization to more intelligently schedule jobs and removes the need for extensive reprogramming to integrate Intel Xeon Phi coprocessors into existing systems. It also allows for policy-based scheduling, optimizing the choice of accelerators and coprocessors. As Intel Xeon Phi coprocessors are introduced into existing systems, this keeps costs and management efforts at a minimum, while maximizing utilization to ensure the most efficient job processing – by utilizing metrics including the number of cores and hardware threads, physical and memory available (total and free), max frequency, architect and load.

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Over at the IBM Blog, IBM Fellow Hillary Hunter writes that the company anticipates that the world’s volume of digital data will exceed 44 zettabytes, an astounding number. "IBM has worked to build the industry’s most complete data science platform. Integrated with NVIDIA GPUs and software designed specifically for AI and the most data-intensive workloads, IBM has infused AI into offerings that clients can access regardless of their deployment model. Today, we take the next step in that journey in announcing the next evolution of our collaboration with NVIDIA. We plan to leverage their new data science toolkit, RAPIDS, across our portfolio so that our clients can enhance the performance of machine learning and data analytics." [Read More...]

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